Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "98"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 98 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 43 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 41 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 98, Node N07:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459858 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 1.60% -1.054735 0.943391 0.091006 0.730048 0.397493 -0.156854 0.316843 1.746047 0.6895 0.6603 0.4221 1.487825 1.472001
2459857 digital_ok 0.00% 100.00% 100.00% 0.00% - - 1.101641 1.272374 -2.593246 -2.786074 -0.444561 -0.100569 0.239378 0.115206 0.0298 0.0333 0.0032 nan nan
2459856 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.067584 6.114701 -0.480884 -0.198762 -0.154626 3.000313 0.494991 1.973199 0.6814 0.6756 0.4037 3.065224 2.812554
2459855 digital_ok 0.00% 0.00% 0.00% 0.00% 4.58% 0.00% -1.456268 2.755517 -0.917311 -0.110672 1.049615 -0.063801 -0.339150 0.724146 0.6579 0.6951 0.4368 1.703942 1.631269
2459854 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.447157 8.515201 -0.820563 -0.386061 1.179081 0.866542 -0.468554 2.127459 0.6779 0.7098 0.4334 3.154058 2.874582
2459853 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.021342 4.070709 -0.782453 -0.333311 0.054953 1.316795 1.041460 3.113092 0.7075 0.6667 0.4264 3.495829 3.294839
2459852 digital_ok 0.00% 0.00% 0.00% 0.00% 8.65% 8.11% -0.433671 0.279734 -0.363019 -0.672892 -0.306013 1.951584 -0.087140 0.318994 0.8000 0.8130 0.2544 3.435782 3.877200
2459850 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.395414 4.483375 -0.519542 -0.359627 0.819951 2.163871 0.429064 2.642514 0.7103 0.7326 0.3605 2.974614 2.773775
2459849 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.044690 7.414675 -0.511353 0.022267 1.429797 1.868050 0.873618 2.783644 0.7064 0.7221 0.3696 3.695928 3.293523
2459848 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.366925 6.167244 -0.527001 -0.473440 2.378587 4.805318 0.845698 2.061888 0.6788 0.7255 0.3889 2.887459 2.803626
2459847 digital_ok 0.00% 0.00% 0.00% 0.00% 3.74% 1.07% -0.347889 2.917812 -0.747828 -0.763131 1.352999 2.749090 0.081743 1.262448 0.6887 0.6604 0.4333 1.684460 1.593088
2459846 digital_ok 0.00% 0.00% 0.00% 0.00% 33.33% 0.00% 0.176759 3.067083 0.353906 -0.683303 -0.553929 0.737738 -0.176088 0.977836 0.8170 0.6512 0.5053 1.617979 1.474150
2459845 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459844 digital_ok 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459843 digital_ok 100.00% 1.20% 0.66% 0.00% 100.00% 0.00% -0.353480 15.241641 -0.323788 1.988528 4.838051 9.178963 0.309670 2.066807 0.7121 0.7064 0.3836 4.170076 3.349867
2459840 digital_ok 0.00% 100.00% 100.00% 0.00% - - 0.911876 0.823245 2.539580 3.071302 0.071377 -0.654228 -1.315640 -2.050489 0.0290 0.0271 0.0025 nan nan
2459839 digital_ok 100.00% - - - - - -0.101825 -0.278516 17.766190 18.537994 1.633444 1.323543 7.050194 4.172109 nan nan nan nan nan
2459838 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.670153 9.142041 -0.019805 3.611622 -0.055120 8.616785 -0.222730 2.062687 0.7152 0.6689 0.4101 4.028109 4.025549
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0556 0.0811 0.0136 nan nan
2459835 digital_ok 0.00% 100.00% 100.00% 0.00% - - -1.023772 -0.307577 -0.206926 -0.654591 -0.407953 -1.031147 0.964769 0.958052 0.0585 0.0795 0.0179 nan nan
2459833 digital_ok 0.00% 100.00% 100.00% 0.00% - - 2.051190 1.714467 1.782563 1.871039 0.618159 -0.236177 0.362158 -0.263942 0.0761 0.0696 0.0109 nan nan
2459832 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.288022 1.047350 0.550868 1.343001 0.456007 0.877177 0.128436 1.260716 0.7972 0.5160 0.5797 1.927829 1.779421
2459831 digital_ok 100.00% 44.89% 44.89% 0.00% - - 0.007958 1.730085 20.955012 22.226568 1.522794 2.014899 -0.968680 -1.494683 0.2556 0.3172 0.0342 nan nan
2459830 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.920024 3.295297 1.450828 2.206167 0.105484 0.159201 -0.104131 2.028153 0.7976 0.5376 0.5570 1.970823 1.539220
2459829 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.804069 53.377554 1.432529 2.050138 9.653216 13.924766 3.475260 12.638944 0.7318 0.6359 0.3926 15.203077 19.777291
2459828 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.644231 3.620381 0.147665 1.681561 -0.202129 0.101915 7.886388 3.234408 0.8018 0.5406 0.5427 4.131771 4.993211
2459827 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.382738 14.408278 2.027328 1.416582 10.379716 12.184975 7.004963 3.969357 0.7333 0.6420 0.4150 12.544955 9.961005
2459826 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.618929 4.408798 1.381404 2.855589 0.947464 0.998754 0.573400 2.185840 0.7916 0.5230 0.5406 0.000000 0.000000
2459825 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.543848 1.543209 0.597432 2.390141 -0.036245 -0.503407 0.364626 -0.472318 0.7952 0.5541 0.5258 2.630643 2.292053
2459824 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.574170 1.307619 1.685557 1.408176 1.477048 1.479493 0.570196 0.820760 0.6825 0.7093 0.3825 1.910684 2.021508
2459823 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.721086 1.848214 1.381465 3.193632 2.267821 -0.094527 20.047806 4.246186 0.7410 0.6243 0.4778 66.875538 42.995406
2459822 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.468511 5.831967 0.783605 3.158203 0.321509 -0.364252 3.863716 -0.085432 0.7907 0.5608 0.5257 5.435048 5.836832
2459821 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.855770 16.308091 0.778987 2.386459 -0.849238 6.359523 -0.925050 0.110217 0.7891 0.5766 0.5195 4.939273 5.318684
2459820 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.776769 40.302846 1.181207 2.920012 0.887483 24.796942 1.500698 8.765674 0.7450 0.6328 0.4139 4.998102 5.104256
2459817 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.087357 1.232046 0.254780 2.729951 -0.348081 -0.414831 -0.354952 -0.387182 0.7940 0.6181 0.5207 2.083211 2.160426
2459816 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.898450 0.155929 1.488156 4.082724 2.096638 0.546343 3.937933 3.253416 0.8387 0.5652 0.6085 4.001535 4.459679
2459815 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.584473 3.400186 -0.444969 3.993078 9.096844 0.421178 393.177359 3.162789 0.7952 0.6408 0.5168 3.970356 3.486497
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.812876 10.807541 0.258510 8.076965 1.331599 23.931447 1.704898 2.814562 0.7659 0.7123 0.4169 7.029944 8.029348

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 98: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Temporal Discontinuties 1.746047 0.943391 -1.054735 0.730048 0.091006 -0.156854 0.397493 1.746047 0.316843

Antenna 98: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 1.272374 1.272374 1.101641 -2.786074 -2.593246 -0.100569 -0.444561 0.115206 0.239378

Antenna 98: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 6.114701 -1.067584 6.114701 -0.480884 -0.198762 -0.154626 3.000313 0.494991 1.973199

Antenna 98: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 2.755517 2.755517 -1.456268 -0.110672 -0.917311 -0.063801 1.049615 0.724146 -0.339150

Antenna 98: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 8.515201 8.515201 -1.447157 -0.386061 -0.820563 0.866542 1.179081 2.127459 -0.468554

Antenna 98: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 4.070709 4.070709 -1.021342 -0.333311 -0.782453 1.316795 0.054953 3.113092 1.041460

Antenna 98: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Temporal Variability 1.951584 -0.433671 0.279734 -0.363019 -0.672892 -0.306013 1.951584 -0.087140 0.318994

Antenna 98: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 4.483375 -0.395414 4.483375 -0.519542 -0.359627 0.819951 2.163871 0.429064 2.642514

Antenna 98: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 7.414675 -0.044690 7.414675 -0.511353 0.022267 1.429797 1.868050 0.873618 2.783644

Antenna 98: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 6.167244 6.167244 -0.366925 -0.473440 -0.527001 4.805318 2.378587 2.061888 0.845698

Antenna 98: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 2.917812 2.917812 -0.347889 -0.763131 -0.747828 2.749090 1.352999 1.262448 0.081743

Antenna 98: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 3.067083 0.176759 3.067083 0.353906 -0.683303 -0.553929 0.737738 -0.176088 0.977836

Antenna 98: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 98: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 98: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 15.241641 15.241641 -0.353480 1.988528 -0.323788 9.178963 4.838051 2.066807 0.309670

Antenna 98: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Power 3.071302 0.911876 0.823245 2.539580 3.071302 0.071377 -0.654228 -1.315640 -2.050489

Antenna 98: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Power 18.537994 -0.278516 -0.101825 18.537994 17.766190 1.323543 1.633444 4.172109 7.050194

Antenna 98: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 9.142041 9.142041 -0.670153 3.611622 -0.019805 8.616785 -0.055120 2.062687 -0.222730

Antenna 98: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok ee Temporal Discontinuties 0.964769 -0.307577 -1.023772 -0.654591 -0.206926 -1.031147 -0.407953 0.958052 0.964769

Antenna 98: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok ee Shape 2.051190 1.714467 2.051190 1.871039 1.782563 -0.236177 0.618159 -0.263942 0.362158

Antenna 98: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Power 1.343001 0.288022 1.047350 0.550868 1.343001 0.456007 0.877177 0.128436 1.260716

Antenna 98: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Power 22.226568 0.007958 1.730085 20.955012 22.226568 1.522794 2.014899 -0.968680 -1.494683

Antenna 98: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 3.295297 0.920024 3.295297 1.450828 2.206167 0.105484 0.159201 -0.104131 2.028153

Antenna 98: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 53.377554 53.377554 0.804069 2.050138 1.432529 13.924766 9.653216 12.638944 3.475260

Antenna 98: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok ee Temporal Discontinuties 7.886388 3.620381 1.644231 1.681561 0.147665 0.101915 -0.202129 3.234408 7.886388

Antenna 98: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 14.408278 1.382738 14.408278 2.027328 1.416582 10.379716 12.184975 7.004963 3.969357

Antenna 98: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 4.408798 4.408798 1.618929 2.855589 1.381404 0.998754 0.947464 2.185840 0.573400

Antenna 98: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Power 2.390141 1.543209 1.543848 2.390141 0.597432 -0.503407 -0.036245 -0.472318 0.364626

Antenna 98: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok ee Power 1.685557 0.574170 1.307619 1.685557 1.408176 1.477048 1.479493 0.570196 0.820760

Antenna 98: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok ee Temporal Discontinuties 20.047806 1.848214 1.721086 3.193632 1.381465 -0.094527 2.267821 4.246186 20.047806

Antenna 98: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 5.831967 1.468511 5.831967 0.783605 3.158203 0.321509 -0.364252 3.863716 -0.085432

Antenna 98: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 16.308091 16.308091 2.855770 2.386459 0.778987 6.359523 -0.849238 0.110217 -0.925050

Antenna 98: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape 40.302846 1.776769 40.302846 1.181207 2.920012 0.887483 24.796942 1.500698 8.765674

Antenna 98: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Power 2.729951 2.087357 1.232046 0.254780 2.729951 -0.348081 -0.414831 -0.354952 -0.387182

Antenna 98: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Power 4.082724 0.155929 1.898450 4.082724 1.488156 0.546343 2.096638 3.253416 3.937933

Antenna 98: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok ee Temporal Discontinuties 393.177359 3.400186 1.584473 3.993078 -0.444969 0.421178 9.096844 3.162789 393.177359

Antenna 98: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 98: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
98 N07 digital_ok nn Temporal Variability 23.931447 10.807541 2.812876 8.076965 0.258510 23.931447 1.331599 2.814562 1.704898
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